Detail-Sensitive Panoramic Annular Semantic Segmentation
New! Google Drive Download Link
For Validation (Most important files):
Unfolded Panoramas for Validation, (400 images)
Annonations, (400 annotation images)
There are 400 panoramas with annotations. Please use the Annotations data for evaluation.
In total, there are 1050 panoramas. Complete Panoramas:
RAW Panoramas: RAW1, RAW2, RAW3
Download the Model (model_superbest.pth) from Trained-SwaftNet-Model
python3.6 eval_cityscapes_color_1.py --datadir /home/kailun/Downloads/DS-PASS-master/eval_swaftnet/data/ --subset val --loadDir ../eval_swaftnet/ --loadWeights model_superbest.pth --loadModel swaftnet.py
If you use our code or dataset, please consider citing our paper:
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing. K. Yang, X. Hu, H. Chen, K. Xiang, K. Wang, R. Stiefelhagen. arxiv preprint arxiv: 1909.07721, 2019. [PDF]